Flávio Ribeiro

646 total citations
12 papers, 445 citations indexed

About

Flávio Ribeiro is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Flávio Ribeiro has authored 12 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Flávio Ribeiro's work include Speech and Audio Processing (7 papers), Sparse and Compressive Sensing Techniques (3 papers) and Image and Signal Denoising Methods (3 papers). Flávio Ribeiro is often cited by papers focused on Speech and Audio Processing (7 papers), Sparse and Compressive Sensing Techniques (3 papers) and Image and Signal Denoising Methods (3 papers). Flávio Ribeiro collaborates with scholars based in Brazil, United States and Mozambique. Flávio Ribeiro's co-authors include Dinei Florêncio, Cha Zhang, Michael L. Seltzer, Vítor H. Nascimento, Demba Ba, Philip A. Chou and Zhengyou Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Audio Speech and Language Processing and Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

Flávio Ribeiro

12 papers receiving 419 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Flávio Ribeiro Brazil	7	222	154	109	99	86	12	445
John Adcock United States	15	436 2.0×	272 1.8×	29 0.3×	241 2.4×	143 1.7×	37	795
Shingo Kuroiwa Japan	13	289 1.3×	102 0.7×	47 0.4×	112 1.1×	43 0.5×	140	765
Yina Guo China	10	131 0.6×	73 0.5×	87 0.8×	29 0.3×	30 0.3×	47	391
Alessio Brutti Italy	16	544 2.5×	140 0.9×	65 0.6×	205 2.1×	172 2.0×	72	686
Katunobu Itou Japan	12	362 1.6×	89 0.6×	38 0.3×	33 0.3×	80 0.9×	65	661
Chanwoo Kim United States	15	757 3.4×	61 0.4×	71 0.7×	54 0.5×	150 1.7×	42	980
Mike Lincoln United Kingdom	11	497 2.2×	49 0.3×	31 0.3×	59 0.6×	110 1.3×	20	732
Ben Yuhas United States	9	135 0.6×	99 0.6×	35 0.3×	73 0.7×	15 0.2×	11	446
P. L. Emiliani Italy	6	57 0.3×	93 0.6×	34 0.3×	45 0.5×	29 0.3×	16	267

Countries citing papers authored by Flávio Ribeiro

Since Specialization

Citations

This map shows the geographic impact of Flávio Ribeiro's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Flávio Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flávio Ribeiro more than expected).

Fields of papers citing papers by Flávio Ribeiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flávio Ribeiro. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Flávio Ribeiro. The network helps show where Flávio Ribeiro may publish in the future.

Co-authorship network of co-authors of Flávio Ribeiro

This figure shows the co-authorship network connecting the top 25 collaborators of Flávio Ribeiro. A scholar is included among the top collaborators of Flávio Ribeiro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Flávio Ribeiro. Flávio Ribeiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Ribeiro, Flávio, Dinei Florêncio, Philip A. Chou, & Zhengyou Zhang. (2012). Auditory augmented reality: Object sonification for the visually impaired. 319–324. 59 indexed citations

Ribeiro, Flávio, Dinei Florêncio, Cha Zhang, & Michael L. Seltzer. (2011). CROWDMOS: An approach for crowdsourcing mean opinion score studies. 2416–2419. 128 indexed citations

Ribeiro, Flávio & Vítor H. Nascimento. (2011). Fast Transforms for Acoustic Imaging—Part II: Applications. IEEE Transactions on Image Processing. 20(8). 2241–2247. 6 indexed citations

Ribeiro, Flávio, Dinei Florêncio, & Vítor H. Nascimento. (2011). Crowdsourcing subjective image quality evaluation. 71 indexed citations

Ribeiro, Flávio & Dinei Florêncio. (2011). Region of interest determination using human computation. 1–5. 4 indexed citations

Ribeiro, Flávio & Vítor H. Nascimento. (2011). A fast transform for acoustic imaging with separable arrays. 2680–2683. 2 indexed citations

Ribeiro, Flávio & Vítor H. Nascimento. (2011). Computationally efficient regularized acoustic imaging. 2688–2691. 3 indexed citations

Ribeiro, Flávio, Dinei Florêncio, Demba Ba, & Cha Zhang. (2011). Geometrically Constrained Room Modeling With Compact Microphone Arrays. IEEE Transactions on Audio Speech and Language Processing. 20(5). 1449–1460. 43 indexed citations

Ba, Demba, Flávio Ribeiro, Cha Zhang, & Dinei Florêncio. (2010). L1 regularized room modeling with compact microphone arrays. 157–160. 31 indexed citations

10.

Ribeiro, Flávio, Demba Ba, Cha Zhang, & Dinei Florêncio. (2010). Turning enemies into friends: Using reflections to improve sound source localization. 731–736. 36 indexed citations

11.

Ribeiro, Flávio, et al.. (2010). Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization. IEEE Transactions on Audio Speech and Language Processing. 18(7). 1781–1792. 61 indexed citations

12.

Ribeiro, Flávio & Vítor H. Nascimento. (2008). A robust and computationally efficient method for tonal active noise control using a simplified secondary path model. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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